International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 76 - Issue 6 |
Published: August 2013 |
Authors: Manjari Anand, Zubair Khan, Ravi S. Shukla |
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Manjari Anand, Zubair Khan, Ravi S. Shukla . Customer Relationship Management using Adaptive Resonance Theory. International Journal of Computer Applications. 76, 6 (August 2013), 43-47. DOI=10.5120/13254-0731
@article{ 10.5120/13254-0731, author = { Manjari Anand,Zubair Khan,Ravi S. Shukla }, title = { Customer Relationship Management using Adaptive Resonance Theory }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 76 }, number = { 6 }, pages = { 43-47 }, doi = { 10.5120/13254-0731 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A Manjari Anand %A Zubair Khan %A Ravi S. Shukla %T Customer Relationship Management using Adaptive Resonance Theory%T %J International Journal of Computer Applications %V 76 %N 6 %P 43-47 %R 10.5120/13254-0731 %I Foundation of Computer Science (FCS), NY, USA
CRM is a kind of implemented model for managing a company's interactions with their customers. CRM involves the customer classification to understand the behavior of the customer. There is a vital role of the data mining techniques for the classification. This paper presents the concept of one of the data mining technique ART for the customer classification for CRM.